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Plánování trajektorie robota v dynamicky měnícím se prostředí s ohledem na splnění specifického cíle
 Koten, Jan
The aim of the thesis is a trajectory optimization of robot in the Ketchup House competition. Environment mapping system is proposed to deal with this issue. As an ideal solution is chosen a method of familiar environment scanning using a camera module and lidar. Camera module and lidar provide a possibility to scan up to nine searched objects, instead of one object allowed by the previous solution. A proximity sensor supplements the whole system, so the efficiency of detection increase. To find a particular position of the object on the playing field, image processing methods are used, namely line detection and thresholding. Moreover, new playing strategy and a new way of representing the playing field are implemented. Robot K4, created by PEF MENDELU AiStorm team, serves for application of the system.
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